refactor(run): 重构脚本执行方式并优化项目结构
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@@ -1,47 +1,41 @@
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# run_all.py
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import os
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import sys
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import importlib.util
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import subprocess
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# 确保根目录在路径中
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PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__))
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sys.path.append(PROJECT_ROOT)
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def run_script(script_path):
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"""动态导入并运行一个 Python 脚本"""
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if not os.path.exists(script_path):
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print(f"[警告] 文件不存在: {script_path}")
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print(f"[Warning] File does not exist: {script_path}")
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return
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# 生成模块名
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module_name = os.path.splitext(os.path.basename(script_path))[0]
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spec = importlib.util.spec_from_file_location(module_name, script_path)
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module = importlib.util.module_from_spec(spec)
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# 插入到 sys.modules 避免重复导入
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sys.modules[module_name] = module
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# 执行脚本(相当于 __name__ == "__main__")
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print(f"\n{'='*50}")
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print(f"运行: {script_path}")
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print(f"Running: {script_path}")
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print(f"{'='*50}")
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spec.loader.exec_module(module)
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def main():
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# 运行 pre_train 下的所有脚本
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pre_train_dir = os.path.join(PROJECT_ROOT, 'pre_train')
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try:
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env = os.environ.copy()
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env['PYTHONPATH'] = PROJECT_ROOT
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subprocess.run(
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[sys.executable, script_path],
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check=True,
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cwd=PROJECT_ROOT,
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env=env
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)
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except subprocess.CalledProcessError as e:
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print(f"[Error] Script execution failed: {script_path}, Error code: {e.returncode}")
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def run_scripts(project_root: str, directory: str):
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pre_train_dir = os.path.join(project_root, directory)
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for file in os.listdir(pre_train_dir):
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if file.endswith('.py') and not file.startswith('__'):
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if file.endswith('.py'):
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script_path = os.path.join(pre_train_dir, file)
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run_script(script_path)
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# 运行 supervised_finetuning 下的所有脚本
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sft_dir = os.path.join(PROJECT_ROOT, 'supervised_finetuning')
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for file in os.listdir(sft_dir):
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if file.endswith('.py') and not file.startswith('__'):
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script_path = os.path.join(sft_dir, file)
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run_script(script_path)
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def main():
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run_scripts(PROJECT_ROOT, 'pre_train')
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run_scripts(PROJECT_ROOT, 'supervised_finetuning')
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if __name__ == "__main__":
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main()
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